Developer Tools · head to head
Dagger vs Greenhouse

Dagger
Developer Tools
Programmable CI/CD engine that runs your pipeline as containers on any runner
- From
- Free
- Free plan
- Yes

Greenhouse
Technology
Hiring software for growing companies
- From
- On request
- Free plan
- No
The short version
- Only Dagger has a free tier, so it costs nothing to try first.
- Each has a real cost: Dagger dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it.; Greenhouse core plan lacks talent discovery and contact lookups
- They diverge on capability: Dagger covers Pipelines as code, Greenhouse covers Applicant tracking.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dagger and Greenhouse actually diverge.
| Attribute | Dagger | Greenhouse |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Per month per team for Dagger Cloud | quote |
| Free tier | Yes | No |
| Platforms | Linux, macOS, Windows, Self-hosted | Web, Ios, Android, Api |
| Category | Developer Tools | Technology |
| Founded | Unknown | 2012 |
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Dagger
- Pipelines as code
- Local and CI parity
- Content-addressed caching
- Dagger Functions and modules
- CI-provider agnostic
- Dagger Cloud traces
- GitHub Checks integration
- Container-native execution
Only in Greenhouse
- Applicant tracking
- Interview scheduling
- Scorecard system
- Job board posting
- Candidate CRM
- Reporting & analytics
- Offer management
- EEO compliance
What people use each for
The jobs each tool is most often brought in to do.
Dagger
- A platform team maintaining near-identical build YAML across forty repositories that wants one versioned module every repository calls insteadnot Greenhouse
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Greenhouse
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Greenhouse
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Greenhouse
Greenhouse
- Enterprise hiring and recruiting automationnot Dagger
- Multi-location and multi-team talent acquisitionnot Dagger
- Structured interview process managementnot Dagger
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dagger
- Dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it.
- Writing pipelines in Go or TypeScript raises the barrier to entry: a release engineer who could edit a YAML step now needs to read code, and the people who can fix a broken build shrink to those comfortable with the SDK.
- The engine runs as a container on the runner and needs a persistent cache volume to deliver its main benefit, so ephemeral CI runners give you correctness without the speed, and provisioning durable cache storage is extra platform work.
- The Team plan caps at ten users and ten million events per month; an organisation of any size crosses that quickly and moves to Enterprise pricing that is not published, so cost at scale is unknowable up front.
- The module ecosystem is young and thinly maintained relative to the marketplace of a mature CI provider, so integrations that exist as a one-line Action often have to be written yourself as a Dagger function.
Greenhouse
- Core plan lacks talent discovery and contact lookups
- Core plan lacks email automation and applicant texting
- Plus plan lacks resume anonymisation and application limits
- Plus plan lacks audit logging and developer tools
- Pricing customised by hiring volume and company size, not published
- Only Pro tier offers audit logs and developer sandbox
Pricing, plan by plan
Dagger
Free- IndividualFree
- One user
- One million events per month
- Workflow logs and function call traces
- Team$50/month
- Up to ten users
- Ten million events per month
- Module insights and module catalogue
- Enterprise$undefined/year
- Custom user and event limits
- SSO
- Managed single-tenant deployment
Greenhouse
On requestNo published plan breakdown. See the Greenhouse review.
Which should you pick?
Choose Dagger if
- You need pipelines as code.
- You want to start without paying.
- You work on Linux, macOS, Windows, Self-hosted.
- You also want local and ci parity.
Choose Greenhouse if
- You need applicant tracking.
- You work on Web, Ios, Android, Api.
- You also want interview scheduling.
Questions people ask
- Is Dagger or Greenhouse better?
- Neither clearly leads. Dagger starts at Free and Greenhouse at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagger or Greenhouse?
- Dagger has a free tier; the other does not. Paid plans start at Free for Dagger and On request for Greenhouse.
- Does Dagger or Greenhouse run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. Greenhouse runs on Web, Ios, Android, Api.
- Can I use Dagger for free?
- Yes. Dagger has a free tier, so you can try it without paying. Greenhouse starts at On request.
- What is Dagger best used for?
- Dagger is most often used for a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead, an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration, a team whose engineers waste hours pushing commits to debug ci-only failures and needs to reproduce the exact run locally, a monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materially. Of those, a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead and an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration are not what Greenhouse is typically brought in for.
- What can Dagger do that Greenhouse cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting.
Answered from the vendors’ own pages
Dagger: Does Dagger replace GitHub Actions?
No. Dagger runs inside GitHub Actions or any other CI. It replaces the YAML that describes your pipeline steps, not the trigger and runner layer.
Greenhouse: How much does Greenhouse cost?
Greenhouse does not publish specific pricing. The company states that pricing is customized based on your hiring needs, hiring volume, organizational complexity, and required features.
SourceDagger: Is the engine open source?
Yes, the Dagger engine and SDKs are open source and free. Dagger Cloud, the observability product, is what costs money.
Greenhouse: What are the Greenhouse pricing tiers?
Greenhouse offers three plan levels: Core (basic hiring structure), Plus (multi-location optimization), and Pro (complex enterprise hiring). Exact pricing requires contacting Greenhouse for a custom quote.
SourceDagger: What is an event in the pricing?
Dagger Cloud meters pipeline telemetry events. One million per month is free; the Team plan at 50 USD per month allows ten million.
Greenhouse: Do all Greenhouse tiers include the same features?
No. Core includes sourcing and scheduling, Plus adds automation and texting, and Pro adds enterprise data configuration and audit logs. All tiers can be customized.
SourceDagger: Can I run the same pipeline on my laptop?
Yes, that is the main reason teams adopt it. The dagger CLI executes the identical graph locally, so CI-only failures become reproducible.
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